add e2e tests for prefer-closest-numa-nodes TopologyManagerPolicyOption suboptimal allocation

Signed-off-by: PiotrProkop <pprokop@nvidia.com>
This commit is contained in:
PiotrProkop 2024-10-21 13:33:02 +02:00
parent 9bc3a2ff5a
commit a6eb3281cc

View File

@ -123,9 +123,11 @@ func getMinRemoteDistanceForNode(nodeToDistances map[int][]int) int {
}
func detectNUMADistances(numaNodes int) map[int][]int {
ginkgo.GinkgoHelper()
nodeToDistances := make(map[int][]int)
for i := 0; i < numaNodes; i++ {
outData, err := exec.Command("/bin/sh", "-c", fmt.Sprintf("cat /sys/devices/system/node/node%d/distance", i)).Output()
outData, err := os.ReadFile(fmt.Sprintf("/sys/devices/system/node/node%d/distance", i))
framework.ExpectNoError(err)
nodeToDistances[i] = make([]int, 0, numaNodes)
@ -905,8 +907,12 @@ func runTopologyManagerNodeAlignmentSuiteTests(ctx context.Context, f *framework
}
func runPreferClosestNUMATestSuite(ctx context.Context, f *framework.Framework, numaNodes int, distances map[int][]int) {
ginkgo.By("Admit two guaranteed pods. Both consist of 1 containers, each pod asks for cpus from 2 NUMA nodes. CPUs should be assigned from closest NUMA")
runPreferClosestNUMAOptimalAllocationTest(ctx, f, numaNodes, distances)
runPreferClosestNUMASubOptimalAllocationTest(ctx, f, numaNodes, distances)
}
func runPreferClosestNUMAOptimalAllocationTest(ctx context.Context, f *framework.Framework, numaNodes int, distances map[int][]int) {
ginkgo.By("Admit two guaranteed pods. Both consist of 1 containers, each pod asks for cpus from 2 NUMA nodes. CPUs should be assigned from closest NUMA")
podMap := make(map[string]*v1.Pod)
for podID := 0; podID < 2; podID++ {
numCores := 0
@ -916,7 +922,7 @@ func runPreferClosestNUMATestSuite(ctx context.Context, f *framework.Framework,
// subtract one to accommodate reservedCPUs. It'll only work if more than 2 cpus per NUMA node.
cpusPerNUMA := len(cpus)
if cpusPerNUMA < 3 {
e2eskipper.Skipf("Less than 2 cpus per NUMA node on this system. Skipping test.")
e2eskipper.Skipf("Less than 3 cpus per NUMA node on this system. Skipping test.")
}
numCores += cpusPerNUMA - 1
}
@ -936,6 +942,89 @@ func runPreferClosestNUMATestSuite(ctx context.Context, f *framework.Framework,
podMap[podName] = pod
}
valiidatePreferClosestNUMAOptimalAllocation(ctx, f, podMap, numaNodes, distances)
deletePodsAsync(ctx, f, podMap)
}
func runPreferClosestNUMASubOptimalAllocationTest(ctx context.Context, f *framework.Framework, numaNodes int, distances map[int][]int) {
ginkgo.By("Admit two guaranteed pods. Both consist of 1 containers, each pod asks for cpus from 2 NUMA nodes. CPUs should be assigned from closest NUMA")
cntName := "ps-container-0"
// expect same amount of cpus per NUMA
cpusPerNUMA, err := getCPUsPerNUMANode(0)
framework.ExpectNoError(err)
if len(cpusPerNUMA) < 5 {
e2eskipper.Skipf("Less than 5 cpus per NUMA node on this system. Skipping test.")
}
podMap := make(map[string]*v1.Pod)
for podID := 0; podID < 2; podID++ {
// asks for all but one cpus from one less than half NUMA nodes, and half from the other
// plus add one less than half NUMA nodes, to accommodate for reserved cpus
numCores := ((numaNodes/2)-1)*(len(cpusPerNUMA)-1) + (len(cpusPerNUMA) / 2) + (numaNodes/2 - 1)
framework.ExpectNoError(err)
coresReq := fmt.Sprintf("%dm", numCores*1000)
ctnAttrs := []tmCtnAttribute{
{
ctnName: "ps-container-0",
cpuRequest: coresReq,
cpuLimit: coresReq,
},
}
podName := fmt.Sprintf("gu-pod-%d", podID)
framework.Logf("creating pod %s", podName)
pod := makeTopologyManagerTestPod(podName, ctnAttrs, nil)
pod = e2epod.NewPodClient(f).CreateSync(ctx, pod)
framework.Logf("created pod %s", podName)
podMap[podName] = pod
}
valiidatePreferClosestNUMAOptimalAllocation(ctx, f, podMap, numaNodes, distances)
ginkgo.By("Admit one guaranteed pod. Asks for cpus from 2 NUMA nodes. CPUs should be assigned from non closest NUMA")
// ask for remaining cpus, it should only fit on sub-optimal NUMA placement.
coresReq := fmt.Sprintf("%dm", 2*(len(cpusPerNUMA)/2)*1000)
ctnAttrs := []tmCtnAttribute{
{
ctnName: cntName,
cpuRequest: coresReq,
cpuLimit: coresReq,
},
}
podName := "gu-pod-2"
framework.Logf("creating pod %s attrs %v", podName, nil)
pod := makeTopologyManagerTestPod(podName, ctnAttrs, nil)
pod = e2epod.NewPodClient(f).CreateSync(ctx, pod)
framework.Logf("created pod %s", podName)
ginkgo.By(fmt.Sprintf("validating the container %s on Gu pod %s", cntName, pod.Name))
logs, err := e2epod.GetPodLogs(ctx, f.ClientSet, f.Namespace.Name, pod.Name, cntName)
framework.ExpectNoError(err, "expected log not found in container [%s] of pod [%s]", cntName, pod.Name)
framework.Logf("got pod logs: %v", logs)
podEnv, err := makeEnvMap(logs)
framework.ExpectNoError(err, "expected log not found in container [%s] of pod [%s]", cntName, pod.Name)
CPUToNUMANode, err := getCPUToNUMANodeMapFromEnv(f, pod, &pod.Spec.Containers[0], podEnv, numaNodes)
framework.ExpectNoError(err, "expected log not found in container [%s] of pod [%s]", cntName, pod.Name)
numaUsed := sets.New[int]()
for _, numa := range CPUToNUMANode {
numaUsed.Insert(numa)
}
numaList := numaUsed.UnsortedList()
gomega.Expect(numaList).To(gomega.HaveLen(2))
distance := getMinRemoteDistanceForNode(distances)
gomega.Expect(distance).NotTo(gomega.Equal(distances[numaList[0]][numaList[1]]))
deletePodsAsync(ctx, f, podMap)
}
func valiidatePreferClosestNUMAOptimalAllocation(ctx context.Context, f *framework.Framework, podMap map[string]*v1.Pod, numaNodes int, distances map[int][]int) {
for _, pod := range podMap {
for _, cnt := range pod.Spec.Containers {
ginkgo.By(fmt.Sprintf("validating the container %s on Gu pod %s", cnt.Name, pod.Name))
@ -962,8 +1051,6 @@ func runPreferClosestNUMATestSuite(ctx context.Context, f *framework.Framework,
gomega.Expect(distance).To(gomega.Equal(distances[numaList[0]][numaList[1]]))
}
}
deletePodsAsync(ctx, f, podMap)
}
func runTopologyManagerTests(f *framework.Framework, topologyOptions map[string]string) {